Imagen de Portada

Partition-based distributed extended Kalman filter for large-scale nonlinear processes with application to chemical and wastewater treatment processes

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Li, Xiaojie, Law, Adrian Wing-Keung, Yin, Xunyuan
Formato:	Preprint
Publicado:	2024
Materias:	Systems and Control
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Learning-based data-enabled moving horizon estimation with application to membrane-based biological wastewater treatment process
por: Li, Xiaojie, et al.
Publicado: (2026)

Data-driven parallel Koopman subsystem modeling and distributed moving horizon state estimation for large-scale nonlinear processes
por: Li, Xiaojie, et al.
Publicado: (2024)

Self-tuning moving horizon estimation of nonlinear systems via physics-informed machine learning Koopman modeling
por: Yan, Mingxue, et al.
Publicado: (2024)

Efficient Economic Model Predictive Control of Water Treatment Process with Learning-based Koopman Operator
por: Han, Minghao, et al.
Publicado: (2024)

MAKO: Meta-Adaptive Koopman Operators for Learning-based Model Predictive Control of Parametrically Uncertain Nonlinear Systems
por: Han, Minghao, et al.
Publicado: (2025)

Economic zone data-enabled predictive control for connected open water systems
por: Chen, Xiaoqiao, et al.
Publicado: (2025)

Approximating arrival costs in distributed moving horizon estimation: A recursive method
por: Li, Xiaojie, et al.
Publicado: (2024)

Reduced-order Koopman modeling and predictive control of nonlinear processes
por: Zhang, Xuewen, et al.
Publicado: (2024)

Approximate Kalman filtering for large-scale systems with an application to hyperthermia cancer treatments
por: Nouwens, S. A. N., et al.
Publicado: (2024)

Machine learning-based input-augmented Koopman modeling and predictive control of nonlinear processes
por: Li, Zhaoyang, et al.
Publicado: (2024)

Iterative distributed moving horizon estimation of linear systems with penalties on both system disturbances and noise
por: Li, Xiaojie, et al.
Publicado: (2024)

EKF-SINDy: Empowering the extended Kalman filter with sparse identification of nonlinear dynamics
por: Rosafalco, Luca, et al.
Publicado: (2024)

Lyapunov-based reinforcement learning for distributed control with stability guarantee
por: Yao, Jingshi, et al.
Publicado: (2024)

Smart energy management: process structure-based hybrid neural networks for optimal scheduling and economic predictive control in integrated systems
por: Wu, Long, et al.
Publicado: (2024)

Learning-based data-enabled economic predictive control with convex optimization for nonlinear systems
por: Yan, Mingxue, et al.
Publicado: (2025)

Deep Neural Koopman Operator-based Economic Model Predictive Control of Shipboard Carbon Capture System
por: Han, Minghao, et al.
Publicado: (2025)

Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization
por: Zhang, Xuewen, et al.
Publicado: (2025)

Distributed Observer and Controller Design for Linear Systems: A Separation-Based Approach
por: Cao, Ganghui, et al.
Publicado: (2025)

Distributed Omniscient Observers for Multi-Agent Systems: Design and Applications
por: Cao, Ganghui, et al.
Publicado: (2026)

Streaming quantum gate set tomography using the extended Kalman filter
por: Marceaux, J. P., et al.
Publicado: (2023)

Approximations of the Mortensen observer using higher order extended Kalman filters
por: Breiten, Tobias, et al.
Publicado: (2026)

Stability analysis of distributed Kalman filtering algorithm for stochastic regression model
por: Xie, Siyu, et al.
Publicado: (2024)

Self‐tuning moving horizon estimation of nonlinear systems via physics‐informed machine learning Koopman modeling
por: Mingxue Yan, et al.
Publicado: (2024)

A novel real-time aeroelastic hybrid simulation system of section model wind tunnel testing based on adaptive extended Kalman filter
por: Du, Wenkai, et al.
Publicado: (2025)

Deep DeePC: Data-enabled predictive control with low or no online optimization using deep learning
por: Zhang, Xuewen, et al.
Publicado: (2024)

Identification of a Kalman filter: consistency of local solutions
por: Simpson, Léo, et al.
Publicado: (2025)

Inverse Cubature and Quadrature Kalman filters
por: Singh, Himali, et al.
Publicado: (2023)

Economic data-enabled predictive control using machine learning
por: Yan, Mingxue, et al.
Publicado: (2025)

Online Reduced-Order Data-Enabled Predictive Control
por: Vahidi-Moghaddam, Amin, et al.
Publicado: (2024)

A method for optimizing the structure of the software and hardware complex of a distributed process control system for large industrial enterprises
por: Zakirzyanov, Ruslan
Publicado: (2026)

A Class of Hierarchical Sliding Mode Control based on Extended Kalman filter for Quadrotor UAVs
por: Nguyen, Van Chung, et al.
Publicado: (2025)

Deterministic Kalman filters for uncertain dynamical systems
por: Kunisch, Karl, et al.
Publicado: (2025)

Communication-Efficient Decentralized Multi-Agent Reinforcement Learning for Cooperative Adaptive Cruise Control
por: Chen, Dong, et al.
Publicado: (2023)

Aging modeling and lifetime prediction of a proton exchange membrane fuel cell using an extended Kalman filter
por: Pene, Serigne Daouda, et al.
Publicado: (2024)

Synchronising DER inverters to weak grid using Kalman filter and LQR current controller
por: Nguyen, Phuoc Sang, et al.
Publicado: (2025)

Risk averse deterministic Kalman filters for uncertain dynamical systems
por: Kunisch, Karl, et al.
Publicado: (2025)

Performance triggered adaptive model reduction for soil moisture estimation in precision irrigation
por: Debnath, Sarupa, et al.
Publicado: (2024)

Adaptive and robust experimental design for linear dynamical models using Kalman filter
por: Strouwen, Arno, et al.
Publicado: (2026)

Low-rank approximated Kalman filter using Oja's principal component flow for discrete-time linear systems
por: Tsuzuki, Daiki, et al.
Publicado: (2024)

Extended Kalman filter -- Koopman operator for tractable stochastic optimal control
por: Ramadan, Mohammad S., et al.
Publicado: (2024)